David A. York

11.3k citations
190 papers · 9.2k indexed · 3 hit papers · h-index 49

David A. York

189 papers receiving 8.7k citations

Hit Papers

Neurobiology of Exercise6901979202619942010250500750

Peers

David A. York
Comparison fields: 5 of 141
  • Endocrine and Autonomic Systems 3.8k
  • Behavioral Neuroscience 758
  • Physiology 4.4k
  • Nutrition and Dietetics 2.0k
  • Endocrinology, Diabetes and Metabolism 1.2k
Replace Barry E. Levin with:
Barry E. Levin United States
Charles V. Mobbs United States
Akira Niijima Japan
Nori Geary United States
Akio Inui Japan
Timothy H. Moran United States
Gary J. Schwartz United States
Alison M. Strack United States
Amanda Sainsbury Australia
Kevin G. Murphy United Kingdom
David A. York relative to Barry E. Levin United States Barry E. Levin's profile →
Citations per field
00.5×1.5×
Barry E. Levin · 1×
Citations per year

Countries citing papers authored by David A. York

Since Specialization
Citations

This map shows the geographic impact of David A. York's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David A. York with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. York more than expected).

Fields of papers citing papers by David A. York

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. York. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David A. York. The network helps show where David A. York may publish in the future.

Co-authorship network

The 25 scholars most cited alongside David A. York, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David A. York Line = papers co-authored together David A. York links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201012
2 20108
3 200814
4
Proceedings of the 10th International Conference on Electrorheological Fluids and Magnetorheological Suspensions : Lake Tahoe, USA, June 18-22, 2006
20072
5 200711
6 200543
7 200515
8
Obesity, a worldwide epidemic related to heart disease and stroke: Group I: Worldwide demographics of obesity
200418
9 199927
10 199885
11 199862
12 199831
13 199618
14 199635
15 199643
16 199549
17 199431
18 1991103
19 198919
20 19886

About David A. York

David A. York is a scholar working on Endocrine and Autonomic Systems, Behavioral Neuroscience and Physiology, having authored 190 papers that have together received 9.2k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (90 papers), Adipose Tissue and Metabolism (81 papers), Diet and metabolism studies (41 papers), Biochemical Analysis and Sensing Techniques (38 papers), Neuropeptides and Animal Physiology (25 papers), Stress Responses and Cortisol (24 papers), Adipokines, Inflammation, and Metabolic Diseases (17 papers) and Pancreatic function and diabetes (17 papers). The work is most often cited by research in Endocrine and Autonomic Systems (3.8k citations), Behavioral Neuroscience (758 citations) and Physiology (4.4k citations). David A. York has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include George A. Bray, Shuichi Okada, Michael Lefevre, Daniel Hwang, Brenda Smith, V. Godbole, Lih‐Yuan Lin, S. J. Holt, Michael J. Quon and Zhan‐Guo Gao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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